Real-time
Two-way sync
Changes in Amazon DynamoDB or SendGrid instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Business productivity
Amazon DynamoDB to SendGrid integration — real-time, two-way sync
Keep Amazon DynamoDB and SendGrid in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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Why teams connect Amazon DynamoDB and SendGrid
Mirror SendGrid's data into Amazon DynamoDB so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Engineers integrate with tools like SendGrid through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Amazon DynamoDB.
Stacksync mirrors Segments, Categories, Senders, Single Sends from SendGrid into Items, Global secondary indexes (GSIs), Local secondary indexes (LSIs), DynamoDB Streams in Amazon DynamoDB and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into SendGrid, so the tool and the database never disagree.
Common use cases
- 01 Stream Event Webhook engagement data into a Postgres database or warehouse for campaign and deliverability reporting
- 02 Keep product-usage attributes from an operational database updated on SendGrid contacts to drive lifecycle segments
- 03 Backfill or migrate records into DynamoDB from another database using BatchWriteItem, then keep the two stores in continuous sync.
- 04 Mirror a high-write DynamoDB table into a relational database so teams can join NoSQL application data against relational tables for reporting.
Common sync patterns
Read SendGrid with a query
Records from SendGrid are ordinary rows in Amazon DynamoDB; join them, index them, and use them in application logic without touching the vendor API.
Automate SendGrid from your codebase
Write to the synced tables in Amazon DynamoDB and Stacksync propagates the change into SendGrid, replacing custom integration code.
React to changes as they happen
Updates in SendGrid arrive as row changes in Amazon DynamoDB, so triggers, jobs, and services can respond in near real time.
What you can sync between Amazon DynamoDB and SendGrid
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Amazon DynamoDB objects | SendGrid objects | How this pairing syncs | |
|---|---|---|---|
| Global secondary indexes (GSIs) Alternate key projections that let you Query by non-key attributes without a full table Scan; read-only views maintained automatically by DynamoDB. | List Synced with incremental and full sync per the Stacksync docs. | Global secondary indexes (GSIs) is specific to Amazon DynamoDB and List to SendGrid — each maps to any object or custom field on the other side. | |
| Local secondary indexes (LSIs) Extra sort keys within the same partition key, defined at table creation; queried like the base table for alternate access patterns. | Segments Query-based contact groups whose membership SendGrid computes from contact fields. | Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Segments to SendGrid — each maps to any object or custom field on the other side. | |
| DynamoDB Streams Ordered item-level change records (INSERT, MODIFY, REMOVE) with old/new image views and 24-hour retention; the native change-data-capture source Stacksync reads for near-real-time sync. | Categories Synced with incremental and full sync per the Stacksync docs. | DynamoDB Streams is specific to Amazon DynamoDB and Categories to SendGrid — each maps to any object or custom field on the other side. | |
| Global Tables Multi-region, active-active replicas of a table kept in sync by DynamoDB; each region is read and written locally with last-writer-wins conflict resolution. | Senders Synced with incremental and full sync per the Stacksync docs. | Global Tables is specific to Amazon DynamoDB and Senders to SendGrid — each maps to any object or custom field on the other side. | |
| Time to Live (TTL) Per-item expiry timestamps; DynamoDB deletes expired items in the background and emits a Streams REMOVE record for each deletion. | Single Sends One-off marketing campaigns whose stats are read back for reporting. | Time to Live (TTL) is specific to Amazon DynamoDB and Single Sends to SendGrid — each maps to any object or custom field on the other side. | |
| Tables Top-level containers, each with a partition key and optional sort key; Stacksync syncs a table as a stream of items with full read and write via PutItem, UpdateItem, and DeleteItem. | Unsubscribe Groups Synced with incremental and full sync per the Stacksync docs. | Tables is specific to Amazon DynamoDB and Unsubscribe Groups to SendGrid — each maps to any object or custom field on the other side. |
How changes propagate between Amazon DynamoDB and SendGrid
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Amazon DynamoDB SendGrid Sub-second propagation
DetectionChanges in Amazon DynamoDB are captured at the source via change data capture — no polling loop against its API. DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views.
DeliveryEach detected change is written to SendGrid through its API, with automatic retries and rate-limit backoff.
SendGrid Amazon DynamoDB Sub-second propagation
DetectionSendGrid notifies Stacksync of record changes through webhook events. Event Webhook posts delivery and engagement events (processed, delivered, open, click, bounce, spam report) to an HTTP endpoint.
DeliveryEach detected change is applied to Amazon DynamoDB as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Amazon DynamoDB: Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.
- SendGrid: Subject to the platform's API rate limits; contact upserts are batched, asynchronous jobs rather than per-row writes.
What ships with Amazon DynamoDB ⇄ SendGrid
Connect Amazon DynamoDB and SendGrid for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon DynamoDB–SendGrid connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Amazon DynamoDB or SendGrid data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Amazon DynamoDB or SendGrid record.
Observability
Monitoring
Track your Amazon DynamoDB ⇄ SendGrid sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Amazon DynamoDB and SendGrid.
How the Amazon DynamoDB and SendGrid connectors work
Amazon DynamoDB
- Integration surface
- AWS SDK / low-level HTTPS JSON API at dynamodb.<region>.amazonaws.com (PutItem, GetItem, UpdateItem, DeleteItem, Query, Scan, BatchWriteItem, TransactWriteItems), plus PartiQL (ExecuteStatement) for SQL-style access and DynamoDB Streams for change capture.
- Authentication
- AWS Signature Version 4 (SigV4) signed requests using an IAM access key ID and secret key, or temporary STS credentials from an assumed IAM role; IAM policies scope access down to table and item level.
- Change detection
- DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views and 24-hour retention, read via shard iterators (or Kinesis Data Streams for longer retention). No native HTTP webhooks.
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.
SendGrid
- Integration surface
- REST API (v3)
- Authentication
- API key (create in SendGrid Settings > API Keys with Custom Access / Full Access for the objects to sync; key begins with "SG")
- Change detection
- Event Webhook posts delivery and engagement events (processed, delivered, open, click, bounce, spam report) to an HTTP endpoint; contact and list changes are detected by polling
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to the platform's API rate limits; contact upserts are batched, asynchronous jobs rather than per-row writes
How it works
How to connect Amazon DynamoDB to SendGrid — three steps, no code
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
- 01
Connect your apps
Authenticate Amazon DynamoDB and SendGrid with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Amazon DynamoDB
connected
SendGrid
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Amazon DynamoDB and SendGrid objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
objects · Amazon DynamoDB ⇄ SendGridCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Amazon DynamoDB SendGridCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Amazon DynamoDB and SendGrid integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Amazon DynamoDB and SendGrid: authenticate both systems, choose the objects to sync (such as Amazon DynamoDB's Global secondary indexes (GSIs) and Local secondary indexes (LSIs)), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Amazon DynamoDB and SendGrid. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Amazon DynamoDB: DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views and 24-hour retention, read via shard iterators (or Kinesis Data Streams for longer retention). No native HTTP webhooks. On SendGrid: Event Webhook posts delivery and engagement events (processed, delivered, open, click, bounce, spam report) to an HTTP endpoint; contact and list changes are detected by polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the SendGrid side: Segments, Categories, Senders, Single Sends, plus custom fields where SendGrid exposes them. On the Amazon DynamoDB side: Items, Global secondary indexes (GSIs), Local secondary indexes (LSIs), DynamoDB Streams. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Amazon DynamoDB and SendGrid: Read SendGrid with a query; Automate SendGrid from your codebase; React to changes as they happen. Records from SendGrid are ordinary rows in Amazon DynamoDB; join them, index them, and use them in application logic without touching the vendor API.
SECURITY
Security teams trust Stacksync
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 487 integrations available for Amazon DynamoDB and SendGrid.
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